Please use this identifier to cite or link to this item: http://hdl.handle.net/10609/138868
Title: Búsqueda y comparación de epítopos en proteínas multitarea
Author: Rivas Prieto, Josep
Tutor: Franco Serrano, Luis  
Others: Ventura, Carles  
Abstract: The present Master's Final Work has focused on the achievement of two objectives: the creation of a database of epitopes of the multitasking proteins present in the MultitaskProtDB-II database and the obtaining of mimotopes of the multitasking proteins with a protein structure analogous to 1iok_A, in order to check if they present mimicry with human proteins associated with pathologies. Epitope prediction was performed with Ellipro, if its PDB code was known and with Bepipred-2.0, if not, after obtaining the sequence in FASTA format from Uniprot. In a first phase, a sequence alignment was performed with Uniprot Align (using Clustal Omega), accurately identifying the analogous epitopes of the six proteins which, in turn, have been analyzed in Tomtom, obtaining 19 consensus mimotopes. In a second phase, a comparative analysis of the mimotopes in FASTM has been carried out, obtaining a list of forty human proteins with a high degree of similarity, from which has been created a database of associated pathologies, extracted from Open Targets and DisGeNet, for each protein on the list. Finally, from the list of ELM motifs analogous to each mimotope provided by Tomtom, a database of proteins with motifs analogous to the first 3 mimotopes has been created and, too, a database with the associated pathologies of the proteins with motifs analogous to the first mimotope.
Keywords: bioinformatics
biostatistics
autoimmune diseases
Document type: info:eu-repo/semantics/masterThesis
Issue Date: 23-Dec-2021
Publication license: http://creativecommons.org/licenses/by-nc-nd/3.0/es/  
Appears in Collections:Trabajos finales de carrera, trabajos de investigación, etc.

Files in This Item:
File Description SizeFormat 

jrivasprTFM0122vídeopresentación.mp4

Vídeo presentación del TFM88,19 MBMP4View/Open
jrivasprTFM0122memoria.pdfMemoria del TFM3,42 MBAdobe PDFThumbnail
View/Open